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get_dataset.js
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get_dataset.js
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// Copyright 2019 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
'use strict';
function main(
projectId = 'YOUR_PROJECT_ID',
location = 'us-central1',
datasetId = 'YOUR_DATASET_ID'
) {
// [START automl_vision_classification_get_dataset]
// [START automl_vision_object_detection_get_dataset]
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'us-central1';
// const datasetId = 'YOUR_DATASET_ID';
// Imports the Google Cloud AutoML library
const {AutoMlClient} = require('@google-cloud/automl').v1;
// Instantiates a client
const client = new AutoMlClient();
async function getDataset() {
// Construct request
const request = {
name: client.datasetPath(projectId, location, datasetId),
};
const [response] = await client.getDataset(request);
console.log(`Dataset name: ${response.name}`);
console.log(
`Dataset id: ${
response.name.split('/')[response.name.split('/').length - 1]
}`
);
console.log(`Dataset display name: ${response.displayName}`);
console.log('Dataset create time');
console.log(`\tseconds ${response.createTime.seconds}`);
console.log(`\tnanos ${response.createTime.nanos / 1e9}`);
// [END automl_vision_classification_get_dataset]
// [END automl_vision_object_detection_get_dataset]
console.log(
`Text extraction dataset metadata: ${response.textExtractionDatasetMetadata}`
);
console.log(
`Text sentiment dataset metadata: ${response.textSentimentDatasetMetadata}`
);
console.log(
`Text classification dataset metadata: ${response.textClassificationDatasetMetadata}`
);
if (response.translationDatasetMetadata !== undefined) {
console.log('Translation dataset metadata:');
console.log(
`\tSource language code: ${response.translationDatasetMetadata.sourceLanguageCode}`
);
console.log(
`\tTarget language code: ${response.translationDatasetMetadata.targetLanguageCode}`
);
}
// [START automl_vision_classification_get_dataset]
console.log(
`Image classification dataset metadata: ${response.imageClassificationDatasetMetadata}`
);
// [END automl_vision_classification_get_dataset]
// [START automl_vision_object_detection_get_dataset]
console.log(
`Image object detection dataset metatdata: ${response.imageObjectDetectionDatasetMetatdata}`
);
// [START automl_vision_classification_get_dataset]
}
getDataset();
// [END automl_vision_classification_get_dataset]
// [END automl_vision_object_detection_get_dataset]
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
main(...process.argv.slice(2));